Institut für Erziehungswissenschaft
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The aim of the present study was to examine how different types of tracking—
between-school streaming, within-school streaming, and course-by-course
tracking—shape students’ mathematics self-concept. This was done in an
internationally comparative framework using data from the Programme for
International Student Assessment (PISA). After controlling for individual
and track mean achievement, results indicated that generally for students
in course-by-course tracking, high-track students had higher mathematics
self-concepts and low-track students had lower mathematics self-concepts.
For students in between-school and within-school streaming, the reverse pat-
tern was found. These findings suggest a solution to the ongoing debate about
the effects of tracking on students’ academic self-concept and suggest that the
reference groups to which students compare themselves differ according to the
type of tracking.
This longitudinal study of N = 1,566 adolescents investigated the protective role of optimism in adjustment to parental separation, focusing on two salient challenges faced by adolescents, namely academic achievement and self-esteem. Based on latent change models, the results indicated associations between parental separation and short-term declines in academic achievement as well as short-term and longer term declines in self-esteem. Although optimism in general showed positive associations with academic achievement and self-esteem, its role as a protective factor proved to be particularly important for academic achievement in adjustment following parental separation.
Clinical reasoning is an essential competency in medical education. This study aimed at developing and validating a test to assess diagnostic accuracy, collected information, and diagnostic decision time in clinical reasoning. A norm-referenced computer-based test for the assessment of clinical reasoning (ASCLIRE) was developed, integrating the entire clinical decision process. In a cross-sectional study participants were asked to choose as many diagnostic measures as they deemed necessary to diagnose the underlying disease of six different cases with acute or sub-acute dyspnea and provide a diagnosis. 283 students and 20 content experts participated. In addition to diagnostic accuracy, respective decision time and number of used relevant diagnostic measures were documented as distinct performance indicators. The empirical structure of the test was investigated using a structural equation modeling approach. Experts showed higher accuracy rates and lower decision times than students. In a cross-sectional comparison, the diagnostic accuracy of students improved with the year of study. Wrong diagnoses provided by our sample were comparable to wrong diagnoses in practice. We found an excellent fit for a model with three latent factors-diagnostic accuracy, decision time, and choice of relevant diagnostic information-with diagnostic accuracy showing no significant correlation with decision time. ASCLIRE considers decision time as an important performance indicator beneath diagnostic accuracy and provides evidence that clinical reasoning is a complex ability comprising diagnostic accuracy, decision time, and choice of relevant diagnostic information as three partly correlated but still distinct aspects.
There is much interest in the identification of the main drivers controlling changes in the microbial community that may be related to sustainable land use. We examined the influence of soil properties and land-use intensity (N fertilization, mowing, grazing) on total phospholipid fatty acid (PLFA) biomass, microbial community composition (PLFA profiles) and activities of enzymes involved in the C, N, and P cycle. These relationships were examined in the topsoil of grasslands from three German regions (Schorfheide-Chorin (SCH), Hainich-Dun (HAI), Schwabische Alb (ALB)) with different parent material. Differences in soil properties explained 60% of variation in PLFA data and 81% of variation in enzyme activities across regions and land-use intensities. Degraded peat soils in the lowland areas of the SCH with high organic carbon (OC) concentrations and sand content contained lower PLFA biomass, lower concentrations of bacterial, fungal, and arbuscular mycorrhizal PLFAs, but greater enzyme activities, and specific enzyme activities (per unit microbial biomass) than mineral soils in the upland areas of the HAI and ALB, which are finer textured, drier, and have smaller OC concentrations. After extraction of variation that originated from large-scale differences among regions and differences in land-use intensities between plots, soil properties still explained a significant amount of variation in PLFA data (34%) and enzyme activities (60%). Total PLFA biomass and all enzyme activities were mainly related to OC concentration, while relative abundance of fungi and fungal to bacterial ratio were mainly related to soil moisture. Land-use intensity (LUI) significantly decreased the soil C:N ratio. There was no direct effect of LUI on total PLFA biomass, microbial community composition, N and P cycling enzyme activities independent of study region and soil properties. In contrast, the activities and specific activities of enzymes involved in the C cycle increased significantly with LUI independent of study region and soil properties, which can have impact on soil organic matter decomposition and nutrient cycling. Our findings demonstrate that microbial biomass and community composition as well as enzyme activities are more controlled by soil properties than by grassland management at the regional scale.
The present study investigates school context effects on psychosocial characteristics (academic self-concept, peer relations, school satisfaction, and school anxiety) of high-achieving and gifted students. Students who did or did not make an early transition from elementary to secondary schools for high-achieving and gifted students in 5th grade in Berlin, Germany, are compared in their psychosocial development. The sample comprises 155 early-entry students who moved to an academically selective secondary school (Gymnasium) and 3,169 regular students who remained in elementary school until the end of 6th grade. Overall, a complex pattern of psychosocial development emerged for all students, with both positive and negative outcomes being observed. Specifically, the transition into academically selective learning environments seemed to come at some cost for psychosocial development. Propensity score matching analysis isolating the effects of selective school intake and the school context effect itself revealed negative contextual effects of early transition to Gymnasium on academic self-concept and school anxiety; additionally, the positive trend in peer relations observed among regular students was not discernible among early-entry students.
Using German data, we examined the effects of one specific type of acceleration-grade skipping-on academic performance. Prior research on the effects of acceleration has suffered from methodological restrictions, especially due to a lack of appropriate comparison groups and a priori measurements. For this reason, propensity score matching was applied in this analysis to minimize selection bias due to observed confounding variables. Various types of matching were attempted, and, in consideration of balancing the covariates, full matching was the final choice. We used data from the Berlin ELEMENT Study, analyzing, after matching, the information of 81 students who had skipped a grade over the course of elementary school and up to 1,668 nonaccelerated students who attended the same grade level as the accelerated students. Measurements took place 3 times between the 4th and 6th grades, including the assessment of reading, spelling, and mathematics performance. After matching, the results of between-group comparisons regarding performance indices showed no significant effects of skipping a grade, other than a small positive effect found on spelling performance. Theoretical implications and methodological limitations are discussed.
Prior research has shown that quantity of schooling affects the development of intelligence in childhood and adolescence. However, it is still debated whether other aspects of schooling-such as ability tracking or, more generally, school quality-can also influence intelligence. In this study, the authors analyzed intelligence gains in academic- and vocational-track schools in Germany, testing for differential effects of school quality (academic vs. vocational track) on psychometric intelligence. Longitudinal data were obtained from a sample of N = 1,038 Grade 7 and 10 students in 49 schools. A nonverbal reasoning test was used as an indicator of general psychometric intelligence, and relevant psychological and social background variables were included in the analyses. Propensity score matching was used to control for selection bias. Results showed a positive effect of attending the academic track.
Background. Assigning students to different school tracks on the basis of their achievement levels is a widely used strategy that aims at giving students the best possible learning opportunity. There is, however, a growing body of literature that questions such positive effects of tracking. Aims. This study compared the developmental trajectories of reading comprehension and decoding speed between students at academic track schools that typically prepare students for university entrance and students at non-academic track schools that usually prepare students for vocational education. Sample. In a longitudinal design with three occasions of data collection, the authors drew on a sample of N= 1,508 5th graders (age at T1 about 11 years, age at T3 about 14 years) from 60 schools in Germany. The academic track sample comprised n= 568 students; the non-academic track sample comprised n= 940 students. Method. Achievement measures were obtained by standardized tests of reading comprehension and decoding speed. Students at the different tracks were closely matched using propensity scores. To compare students growth trajectories between the different school tracks, we applied multi-group latent growth curve models. Results. Comparable results were recorded for the complete (unmatched) sample and for the matched pairs. In all cases, students at the different tracks displayed a similar growth in reading comprehension, whereas larger growth rates for students at academic track schools were recorded for decoding speed. Conclusions. Our findings contribute to an increasing body of literature suggesting that tracking might have undesired side effects.
Equally able students have lower academic self-concepts in high-achieving classrooms than in low-achieving classrooms. This highly general and robust frame of reference effect is widely known as the Big-Fish-Little-Pond Effect (BFLPE; Marsh, 1987). This study contributes to research aiming to identify moderators of the BFLPE by investigating the effects of students' personality (i.e. Big Five traits and narcissism). Multilevel structural equation modeling was used to test the moderator hypotheses, drawing on data from a large sample of N= 4973 upper secondary track students (M age = 19.57). Consistent with a priori predictions, the negative effect of school-average achievement (the BFLPE) interacted significantly with narcissism. Students high in narcissism experienced smaller BFLPEs than did students with low or average levels of narcissism. The statistically significant effect for neuroticism acted in the opposite direction. The study illustrates how personality moderates frame of reference effects that are central to self-concept formation.